Review and improve Spanish (US) customer service content, ensuring accuracy, consistency, and alignment with quality standards through second-pass reviews and feedback.
We are looking for experienced language professionals to support an ongoing project focused on reviewing and refining Spanish (United States) customer service content. This role involves improving machine-translated materials to ensure accuracy, natural language, and alignment with project guidelines.
What you’ll do
Conduct second-pass quality reviews to ensure overall linguistic accuracy and consistency across batches.
Validate and calibrate severity assessments to maintain alignment with quality standards.
Identify systemic MT quality issues, including recurring error patterns, tone mismatches, and terminology inconsistencies.
Provide high-level qualitative feedback that directly contributes to final quality reporting and continuous improvement efforts.
Project details
Language: Spanish (United States)
Content type: Customer service content (general)
Project duration: OngoingThis role involves intermittent work, with tasks assigned on an ad hoc basis throughout the year depending on client needs. Volumes and timing may vary.
Hourly rate: $41.36
Requirements
- Native proficiency in Spanish (United States) and strong English skills.
- Experience in linguistic quality review, MT evaluation, or localization quality assurance.
- Strong familiarity with linguistic QA frameworks and error classification.
- Excellent attention to detail and a quality-focused, analytical mindset.
- Ability to work independently and provide clear, actionable quality feedback.
Top Skills
English
Spanish
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
As a Staff AI Scientist, you will lead AI projects, design deep learning models using multimodal data, and ensure regulatory compliance in healthcare AI products.
Top Skills:
PythonPyTorch
Big Data • Cloud • Software • Database
As a Senior Product Manager at MongoDB, you'll lead a team to enhance the developer experience by defining product strategies, optimizing conversion moments, and driving growth initiatives through data-informed decisions.
Top Skills:
Ai Coding ToolsB2B SaasCloud ServicesCrm SystemsData InfrastructureIn-App Messaging
Security • Software • Cybersecurity • Automation
The Solutions Engineer will support sales executives in selling technology solutions, manage RFP responses, communicate client needs, and deliver impactful presentations, focusing on customer satisfaction and value.
Top Skills:
AWSGCP
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



